Results 221 to 230 of about 6,072,639 (295)

Enhanced energy storage in tungsten bronze-based ferroelectrics and MLCCs via a multi-coating engineering. [PDF]

Nat Commun
Guo L, Liu J, Li M, Jiang Y, Zhang W, Hui K, Cui J, Cheng X, Huang J, Xu J, Guo Y, Bi K, Zhao P, Wu Y, Wang X.   +14 more
europepmc   +1 more source

Polymorphic Superparaelectric Engineering Boosting Energy Storage Capacity in BaTiO3‐Based Ceramics

Advanced Science, EarlyView.
Herein, Ca2+ incorporation promotes the coexistence of CaTiO3‐/BaTiO3‐derived paraferroelectric states, stabilizing cubic‐orthorhombic‐tetragonal polymorphic superparaelectric phases. This minimizes polarization energy barriers, facilitating full polarization saturation without compromising efficiency.
Pan Liu, Xiang Ren, Jin Qian, Haihua Huang, Peng Li, Peng Fu, Jigong Hao, Huarong Zeng, Wei Li, Zhenxiang Cheng   +9 more
wiley   +1 more source

Oil-impregnated densified wood veneer with high electrical insulation enabled by nanosized oil channels. [PDF]

Sci Adv
Wu M, Xu Y, Zhang Q, Brozena A, Mao Y, Liu Y, Xu L, Tejaswi S, Zhang Y, Zhao X, Zhang KC, Ramakrishnan K, Wang O, Nelson J, Bahadur V, Zhu JY, Hebner RE, Hu L.   +17 more
europepmc   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

Epoxy/BaTiO₃ Nanocomposites: Tunable Electrical Conductivity and Engineering-Applicable Insulation, Thermal, and Mechanical Properties. [PDF]

Materials (Basel)
Cui H, Wang H, Gu W, Luo C, Zhang Y, Zhang C, Li S.   +6 more
europepmc   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Insights of 3D-printed dielectric elastomer layers: Electrical and mechanical properties, and prospects for artificial muscle applications. [PDF]

iScience
Asatryan A, Poghosyan N, Torosyan M, Tarasova E, Aghayan M.   +4 more
europepmc   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source